Three Artificial Intelligence: Trends and Predictions

With artificial intelligence (AI) increasingly integrated into our daily lives, its influence is not limited to technology, but is flowing through the entire economy. The appearance of gen AI in 2023 was a game-changer, opening up a whole range of applications in many areas.


In everything from fraud detection in banking to personalization of healthcare treatments and designing new culinary flavors, gen AI has transformed the way we think about work. Looking ahead to 2024, here are three predictions on how gen-AI capabilities will unfold:

1.Customized AI Models Across Industries:

FMs are the building blocks of gen-AI applications, and as time goes by they are becoming more sizeable and powerful. Nevertheless, larger models require increasingly higher training costs, which are obstacles for every single proof of concept. For this purpose the open source large language model (LLM) community is leading the way. Compact LLMs can be quickly tailored for specific industries, and some are carrying out gen-AI pilot projects. In 2024 the ongoing debate between open-source and closed-source LLMs will continue to flare up, affecting the options available to businesses based on privacy and performance.

2. AI Agents for All Purposes?

Gen AI ’ s reach is not limited to text. It can recognize other forms of data, including images, video and audio. These multimodal tools enable engineers to create all-rounder AIs capable of carrying out a wide range of tasks. For example, the AI app's voice feature also simplifies things, enabling users to dictate what they want and having the app handle a variety of tasks on your behalf. These grad level artificial intelligence agents need to be monitored. It also needs to be possible to incorporate responsible gen-AI principles to resolve potential risks and biases.

1. 3.Elevating Customer Experience with Gen AI:

Gen AI is having a transformative impact on the customer experience (CX) domain. This technology can help answer queries much faster, solve problems more quickly, and explain things more clearly and offer advice. Leading businesses will test new approaches to measuring and redefining customer experience and will learn how to use gen AI in 2024. There is also the CX industry, where contact center AI (CCAI) and contact center as a service (CCaas) are expected to become mainstream, and allow human contact center agents to be assisted by gen-AI throughout customer interactions.

To wrap it up in a sentence, 2024 will bring further AI progress that revolutionizes workflows and requires quick absorption of skills related to data science. Flexible enterprise leadership and continuous change management is needed to help Gen AI lower enterprises 'go-to-market time. The key to success is reinventing from scratch, combining machine capabilities with human creativity to create a new era of business innovation.

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